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5 Years On Campus Bachelors Program
Lancaster UniversityLancaster University’s Mathematics with Computer Science (Study Abroad) MSci Hons is a five-year integrated master’s degree that combines advanced mathematical theory with computer science, including a full academic year studying overseas at a partner university. It is designed for students who want to develop strong analytical, computational, and research skills while gaining international experience.
Curriculum Structure
Year 1
In the first year, students build a foundation in mathematics and computing with modules covering multivariable calculus, probability and statistics, logic and proofs, and the fundamentals of programming and software development. These courses develop analytical reasoning and practical coding skills needed for further study in both disciplines.
Year 2
The second year expands core concepts and introduces specialised topics in both mathematics and computer science, including advanced linear algebra, artificial intelligence, cryptography, human-computer interaction, and security and risk. Students apply their learning to projects and group work inspired by real-world challenges, developing teamwork and problem-solving skills.
Year 3 – Study Abroad
Students spend a full academic year at a partner university overseas, gaining international academic and cultural experience. This year enhances adaptability, confidence, and intercultural awareness while allowing continued progress in mathematics and computing.
Year 4
After returning, students take optional advanced modules tailored to their interests, such as machine learning, secure systems, stochastic processes, or software design, preparing for master’s-level study. Research preparation and specialised coursework help students develop independent analytical and technical skills.
Year 5
In the final year, students undertake master’s-level modules and a major research project supervised by academic staff or in collaboration with industry. This project demonstrates independent research capability and mastery of mathematics and computer science concepts.
Focus Areas
Advanced mathematical theory, computer science fundamentals, interdisciplinary problem solving, research and project work, global academic experience.
Learning Outcomes
Graduates develop expert analytical reasoning, computational proficiency, advanced modelling and programming skills, research competence, and the confidence to apply maths and computing to complex real-world problems in global contexts.
Professional Alignment (accreditation)
The MSci degree prepares students for careers in research, data science, software engineering, finance, cybersecurity, and technology innovation, while providing excellent preparation for doctoral study or advanced professional roles through a combination of theoretical and practical experience.
Reputation (employability rankings)
Lancaster University is consistently ranked among the UK’s top institutions for mathematics and computing, with strong national rankings and high research quality, providing graduates with a strong foundation for employability and further study.
The Mathematics with Computer Science (Study Abroad) MSci Hons at Lancaster University combines rigorous academic study with hands‑on technical experience and an international study opportunity. Students develop computational and analytical skills through software development, data analysis, algorithms, and secure systems projects, using languages such as Python and engaging with real-world problems in collaborative group projects. The study abroad component enables students to apply their knowledge in a different academic and cultural environment, enhancing adaptability and global perspective. In the final year, students undertake advanced Master’s‑level modules and a major research project, consolidating both technical expertise and independent research skills:
Study abroad experience at a partner university, gaining exposure to alternative academic approaches and cultural perspectives
Core programming and software development practice, establishing strong foundations in computing alongside mathematical study
Group-based applied projects where students collaborate to build software, explore algorithms, and solve interdisciplinary problems
Master’s-level modules and independent research project in the final year for deep exploration of specialist interests and research methods
Weekly workshops and problem-solving classes hosted by the School of Mathematical Sciences to strengthen technical skills
Membership of computing and maths communities, including societies and peer support groups that encourage collaborative learning
Access to modern computing labs and collaborative spaces designed for software development, secure systems work, and data analysis
Career and Industry Preparation
Graduates gain a combination of strong interdisciplinary skills, practical experience, and international perspective, preparing them for careers in software engineering, data science, cybersecurity, technology consulting, and research.
Why This Degree Stands Out
This MSci Hons programme with a study abroad option is ideal for students seeking deep technical training, real-world project experience, and an international academic dimension, opening pathways to global career opportunities.
Graduates of the Mathematics with Computer Science (Study Abroad) MSci (Hons) from Lancaster University gain advanced expertise in both mathematics and computer science, combined with international experience that enhances employability and global perspective. This programme prepares students for leadership and technical roles in computing, data analysis, and research. Typical graduate roles include Software Engineer, Data Scientist, AI Specialist, and Quantitative Analyst:
University employability support: Lancaster University’s Careers and Employability Service provides guidance for international career opportunities, including personalised career coaching, CV and interview preparation, and workshops on global employment trends in technology and analytics.
Employment outcomes and salary prospects: Graduates with international experience are highly sought after, achieving strong employment rates and competitive salaries in technology, finance, and research sectors.
University–industry connections: The programme benefits from partnerships with international technology companies, research institutions, and multinational organisations, allowing students to gain exposure to global industry practices and networking opportunities.
Accreditation and long-term value: The degree aligns with professional standards in mathematics and computer science, supporting long-term career credibility and opportunities in both industry and academia.
Graduate destinations: Graduates progress into roles within software development, data science, AI research, financial analytics, and consultancy, often leveraging their international experience for global career advancement.
Further Academic Progression:
Graduates may continue to postgraduate study through programmes such as MSc in Artificial Intelligence, Data Science, Applied Mathematics, or Computer Science, or pursue doctoral research (PhD) in mathematics, computing, or interdisciplinary computational fields at Lancaster University or other leading institutions.
AMERICAN CURRICULUM (GPA / AP): Applicants must complete a High School Graduation Diploma with a GPA between 3.2 and 3.4 plus three APs with scores ranging from 5,4,4 to 5,5,5, depending on the programme. An Associate Degree with a GPA between 3.0 and 3.2 may also be considered, with flexibility for equivalent college-level coursework.A LEVEL: Applicants must achieve A*AA, including Mathematics or Further Mathematics at grade A. The offer is reduced to AAA for applicants achieving AA in both Mathematics and Further Mathematics.INTERNATIONAL BACCALAUREATE (IB): A total of 38 points is required, with 17 points from three Higher Level subjects. This must include grade 6 in Higher Level Mathematics.CBSE / ISC (INDIAN CURRICULUM): Applicants must achieve 70%–87% overall from their best four academic subjects in Standard XII. Hindi and Physical Education are excluded from assessment.IELTS: An overall score of 6.5 is required, with a minimum of 5.5 in each component. This confirms readiness for academic study in English.TOEFL: An overall score of 87 is required, with minimum sectional scores of 17 in listening, 18 in reading, 17 in speaking, and 20 in writing. This ensures balanced English language ability across all skills.GCSE: Applicants must achieve Grade C or 4 in GCSE English to meet the minimum language requirement. For IGCSE English as an Additional Language, a minimum of Grade B is required.UCAS TARIFF: Entry is assessed using subject-specific grade requirements rather than a fixed UCAS Tariff score. UCAS points are considered in context alongside overall academic performance.ActuaryData AnalystStatisticianQuantitative AnalystOperations Research AnalystFinancial AnalystRisk AnalystEconomistCryptographerMathematicianData ScientistMarket Research AnalystBiostatisticianMachine Learning EngineerAlgorithm DeveloperResearch ScientistInvestment AnalystStatistician ConsultantSoftware Engineer (Mathematical Modeling)Computational Scientist
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